Presentation Information
[WF1-2]Joint Sensing of Two Independent Failures in Optical Network Using a Single Variational Auto-Encoder Model
○Yuwa Yamamoto1, Akira Hirano1, Sugang Xu2, Yoshinari Awaji2 (1. Tokyo Denki University (Japan), 2. National Institute of Information and Communications Technology (Japan))
Keywords:
Optical core/metro network architecture,design,control,and management,Artificial intelligence and machine learning for optical network design,control,and management
We conducted unsupervised learning of two independent failures including optical fiber bending and ROADM optical filter shift using a VAE model. We successfully detected these anomalies with sufficient high accuracy of over 90%.
Comment
To browse or post comments, you must log in.Log in